Package: bayesDP 1.3.6

Graeme L. Hickey

bayesDP: Implementation of the Bayesian Discount Prior Approach for Clinical Trials

Functions for data augmentation using the Bayesian discount prior method for single arm and two-arm clinical trials, as described in Haddad et al. (2017) <doi:10.1080/10543406.2017.1300907>. The discount power prior methodology was developed in collaboration with the The Medical Device Innovation Consortium (MDIC) Computer Modeling & Simulation Working Group.

Authors:Shawn Balcome [aut], Donnie Musgrove [aut], Tarek Haddad [aut], Graeme L. Hickey [cre, aut], Christopher Jackson [ctb]

bayesDP_1.3.6.tar.gz
bayesDP_1.3.6.tar.gz(r-4.5-noble)bayesDP_1.3.6.tar.gz(r-4.4-noble)
bayesDP_1.3.6.tgz(r-4.4-emscripten)bayesDP_1.3.6.tgz(r-4.3-emscripten)
bayesDP.pdf |bayesDP.html✨
bayesDP/json (API)
NEWS

# Install 'bayesDP' in R:
install.packages('bayesDP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/graemeleehickey/bayesdp/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

openblascpp

4.08 score 1 packages 20 scripts 431 downloads 1 mentions 11 exports 37 dependencies

Last updated 3 years agofrom:2a9ba4fa89. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 28 2024
R-4.5-linux-x86_64NOTENov 28 2024

Exports:alpha_discountbdpbinomialbdplmbdplogitbdpnormalbdpsurvivalplotppexpprintprobability_discountsummary

Dependencies:clicodacolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmgcvmunsellnlmepillarpkgconfigquantregR6RColorBrewerRcppRcppArmadillorlangscalesSparseMsurvivaltibbleutf8vctrsviridisLitewithr

BayesDP

Donnie Musgrove

Rendered frombdpbinomial-vignette.Rmdusingknitr::rmarkdownon Nov 28 2024.

Last update: 2018-04-11
Started: 2017-05-03

BayesDP

Donnie Musgrove

Rendered frombdplm-vignette.Rmdusingknitr::rmarkdownon Nov 28 2024.

Last update: 2018-07-10
Started: 2017-12-07

BayesDP

Donnie Musgrove

Rendered frombdpnormal-vignette.Rmdusingknitr::rmarkdownon Nov 28 2024.

Last update: 2018-04-11
Started: 2017-05-03

BayesDP

Donnie Musgrove

Rendered frombdpsurvival-vignette.Rmdusingknitr::rmarkdownon Nov 28 2024.

Last update: 2018-04-11
Started: 2017-05-03

Readme and manuals

Help Manual

Help pageTopics
Bayesian Discount Prior: Historical Data Weight (alpha)alpha_discount alpha_discount,ANY-method
Bayesian Discount Prior: Binomial countsbdpbinomial bdpbinomial,ANY-method bdpbinomial-method
Bayesian Discount Prior: Two-Arm Linear Regressionbdplm bdplm,ANY-method bdplm-method
Bayesian Discount Prior: Two-Arm Logistic Regressionbdplogit bdplogit,ANY-method bdplogit-method
Bayesian Discount Prior: Gaussian mean valuesbdpnormal bdpnormal,ANY-method bdpnormal-method
Bayesian Discount Prior: Survival Analysisbdpsurvival bdpsurvival,ANY-method bdpsurvival-method
bdpbinomial Object Plotplot,bdpbinomial-method
bdpnormal Object Plotplot,bdpnormal-method
bdpsurvival Object Plotplot,bdpsurvival-method
Compute cdf of the piecewise exponential distributionppexp
bdpbinomial Object Printprint,bdpbinomial-method
bdplm Object Printprint,bdplm-method
bdpnormal Object Printprint,bdpnormal-method
bdpsurvival Object Printprint,bdpsurvival-method
Bayesian Discount Prior: Comparison Between Current and Historical Dataprobability_discount probability_discount,ANY-method
bdpbinomial Object Summarysummary,bdpbinomial-method
bdplm Object Summarysummary,bdplm-method
bdpnormal Object Summarysummary,bdpnormal-method
bdpsurvival Object Summarysummary,bdpsurvival-method